11,599 research outputs found
Cognition and framing in sequential bargaining for gains and losses
Noncooperative game-theoretic models of sequential bargaining give an
underpinning to cooperative solution concepts derived from axioms, and
have proved useful in applications (see Osborne and Rubinstein 1990). But
experimental studies of sequential bargaining with discounting have generally
found systematic deviations between the offers people make and perfect
equilibrium offers derived from backward induction (e.g., Ochs and
Roth 1989).
We have extended this experimental literature in two ways. First,
we used a novel software system to record the information subjects
looked at while they bargained. Measuring patterns of information search
helped us draw inferences about how people think, testing as directly
as possible whether people use backward induction to compute offers.
Second, we compared bargaining over gains that shrink over time (because
of discounting) to equivalent bargaining over losses that expand over
time.
In the games we studied, two players bargain by making a finite number
of alternating offers. A unique subgame-perfect equilibrium can be computed
by backward induction. The induction begins in the last period and
works forward. Our experiments use a three-round game with a pie of
2.50 and
1.25 and keeps $3.75
Electronic properties of linear carbon chains: resolving the controversy
Literature values for the energy gap of long one-dimensional carbon chains
vary from as little as 0.2 eV to more than 4 eV. To resolve this discrepancy,
we use the GW many-body approach to calculate the band gap of an infinite
carbon chain. We also compute the energy dependence of the attenuation
coefficient governing the decay with chain length of the electrical
conductance of long chains and compare this with recent experimental
measurements of the single-molecule conductance of end-capped carbon chains.
For long chains, we find eV and an upper bound for of
\AA.Comment: Accepted for publication in Journal of Chemical Physic
Large N Scaling Behavior of the Lipkin-Meshkov-Glick Model
We introduce a novel semiclassical approach to the Lipkin model. In this way
the well-known phase transition arising at the critical value of the coupling
is intuitively understood. New results -- showing for strong couplings the
existence of a threshold energy which separates deformed from undeformed states
as well as the divergence of the density of states at the threshold energy --
are explained straightforwardly and in quantitative terms by the appearance of
a double well structure in a classical system corresponding to the Lipkin
model. Previously unnoticed features of the eigenstates near the threshold
energy are also predicted and found to hold.Comment: 4 pages, 2 figures, to appear in PR
Functional Morphology and Fluid Interactions During Early Development of the Scyphomedusa Aurelia aurita
Scyphomedusae undergo a predictable ontogenetic transition from a conserved, universal larval form to a diverse array of adult morphologies. This transition entails a change in bell morphology from a highly discontinuous ephyral form, with deep clefts separating eight discrete lappets, to a continuous solid umbrella-like adult form. We used a combination of kinematic, modeling, and flow visualization techniques to examine the function of the medusan bell throughout the developmental changes of the scyphomedusa Aurelia aurita. We found that flow around swimming ephyrae and their lappets was relatively viscous (1 < Re < 10) and, as a result, ephyral lappets were surrounded by thick, overlapping boundary layers that occluded flow through the gaps between lappets. As medusae grew, their fluid environment became increasingly influenced by inertial forces (10 < Re < 10,000) and, simultaneously, clefts between the lappets were replaced by organic tissue. Hence, although the bell undergoes a structural transition from discontinuous (lappets with gaps) to continuous (solid bell) surfaces during development, all developmental stages maintain functionally continuous paddling surfaces. This developmental pattern enables ephyrae to efficiently allocate tissue to bell diameter increase via lappet growth, while minimizing tissue allocation to inter-lappet spaces that maintain paddle function due to boundary layer overlap
Dwarf Dark Matter Halos
We study properties of dark matter halos at high redshifts z=2-10 for a vast
range of masses with the emphasis on dwarf halos with masses 10^7-10^9 Msun/h.
We find that the density profiles of relaxed dwarf halos are well fitted by the
NFW profile and do not have cores. We compute the halo mass function and the
halo spin parameter distribution and find that the former is very well
reproduced by the Sheth & Tormen model while the latter is well fitted by a
lognormal distribution with lambda_0 = 0.042 and sigma_lambda = 0.63. We
estimate the distribution of concentrations for halos in mass range that covers
six orders of magnitude from 10^7 Msun/h to 10^13} Msun/h, and find that the
data are well reproduced by the model of Bullock et al. The extrapolation of
our results to z = 0 predicts that present-day isolated dwarf halos should have
a very large median concentration of ~ 35. We measure the subhalo circular
velocity functions for halos with masses that range from 4.6 x 10^9 Msun/h to
10^13 Msun/h and find that they are similar when normalized to the circular
velocity of the parent halo. Dwarf halos studied in this paper are many orders
of magnitude smaller than well-studied cluster- and Milky Way-sized halos. Yet,
in all respects the dwarfs are just down-scaled versions of the large halos.
They are cuspy and, as expected, more concentrated. They have the same spin
parameter distribution and follow the same mass function that was measured for
large halos.Comment: Accepted to be pusblished by ApJ, 12 pages, 8 figures, LaTeX
(documentclass preprint2). Differences with respect to the previous
submission are: (i) abstract was modified slightly to make it more
transparent to the reader, (ii) an extra figure has been added, and (3) some
minor modifications to the main text were also don
The process-performance paradox in expert judgment - How can experts know so much and predict so badly?
A mysterious fatal disease strikes a large minority of the population.
The disease is incurable, but an expensive drug can keep victims alive. Congress decides that the drug should be given to those whose lives can be
extended longest, which only a few specialists can predict. The experts work
around the clock searching for a cure; allocating the drug is a new chore they
would rather avoid
- …